{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# PdVega examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import pdvega" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Declarative description of the data visualisation\n", "\n", "[Vega-Lite](https://vega.github.io/vega-lite/) can be used to declaratively describe how the data should be mapped to visualisation functions. With `pdvega`, this specification is available in a similar way to the [Matplotlib API](https://pandas.pydata.org/pandas-docs/stable/visualization.html): `data.plot` simply needs to be replaced by `data.vgplot`, where data refers to pandas series or DataFrame objects." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Loading a `DataFrame` with time series of share prices:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from vega_datasets import data\n", "\n", "\n", "stocks = data.stocks(pivoted=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[Matplotlib API](https://pandas.pydata.org/pandas-docs/stable/visualization.html):" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "stocks.plot.line()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `pdvega` API\n", "\n", "
\n", "\n", "**Hint:**\n", "\n", "[vegalite no longer working with pandas 1.0 or later version](https://github.com/vega/ipyvega/issues/203)\n", "
" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#2d9bc212-1eac-4e0b-9cb1-c757085bdcfe" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"line\", \"encoding\": {\"x\": {\"field\": \"date\", \"type\": \"temporal\"}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"date\": \"2000-01-01\", \"variable\": \"AAPL\", \"value\": 25.94}, {\"date\": \"2000-02-01\", \"variable\": \"AAPL\", \"value\": 28.66}, {\"date\": \"2000-03-01\", \"variable\": \"AAPL\", \"value\": 33.95}, {\"date\": \"2000-04-01\", \"variable\": \"AAPL\", \"value\": 31.01}, {\"date\": \"2000-05-01\", \"variable\": \"AAPL\", \"value\": 21.0}, {\"date\": \"2000-06-01\", \"variable\": \"AAPL\", \"value\": 26.19}, {\"date\": \"2000-07-01\", \"variable\": \"AAPL\", \"value\": 25.41}, {\"date\": \"2000-08-01\", \"variable\": \"AAPL\", \"value\": 30.47}, {\"date\": \"2000-09-01\", \"variable\": \"AAPL\", \"value\": 12.88}, {\"date\": \"2000-10-01\", \"variable\": \"AAPL\", \"value\": 9.78}, {\"date\": \"2000-11-01\", \"variable\": \"AAPL\", \"value\": 8.25}, {\"date\": \"2000-12-01\", \"variable\": \"AAPL\", \"value\": 7.44}, {\"date\": \"2001-01-01\", \"variable\": \"AAPL\", \"value\": 10.81}, {\"date\": \"2001-02-01\", \"variable\": \"AAPL\", \"value\": 9.12}, {\"date\": \"2001-03-01\", \"variable\": \"AAPL\", \"value\": 11.03}, {\"date\": \"2001-04-01\", \"variable\": \"AAPL\", \"value\": 12.74}, {\"date\": \"2001-05-01\", \"variable\": \"AAPL\", \"value\": 9.98}, {\"date\": \"2001-06-01\", \"variable\": \"AAPL\", \"value\": 11.62}, {\"date\": \"2001-07-01\", \"variable\": \"AAPL\", \"value\": 9.4}, {\"date\": \"2001-08-01\", \"variable\": \"AAPL\", \"value\": 9.27}, {\"date\": 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\"variable\": \"MSFT\", \"value\": 20.59}, {\"date\": \"2009-06-01\", \"variable\": \"MSFT\", \"value\": 23.42}, {\"date\": \"2009-07-01\", \"variable\": \"MSFT\", \"value\": 23.18}, {\"date\": \"2009-08-01\", \"variable\": \"MSFT\", \"value\": 24.43}, {\"date\": \"2009-09-01\", \"variable\": \"MSFT\", \"value\": 25.49}, {\"date\": \"2009-10-01\", \"variable\": \"MSFT\", \"value\": 27.48}, {\"date\": \"2009-11-01\", \"variable\": \"MSFT\", \"value\": 29.27}, {\"date\": \"2009-12-01\", \"variable\": \"MSFT\", \"value\": 30.34}, {\"date\": \"2010-01-01\", \"variable\": \"MSFT\", \"value\": 28.05}, {\"date\": \"2010-02-01\", \"variable\": \"MSFT\", \"value\": 28.67}, {\"date\": \"2010-03-01\", \"variable\": \"MSFT\", \"value\": 28.8}]}};\n", "var opt = {};\n", "var selector = \"#2d9bc212-1eac-4e0b-9cb1-c757085bdcfe\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#2d9bc212-1eac-4e0b-9cb1-c757085bdcfe" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#2d9bc212-1eac-4e0b-9cb1-c757085bdcfe" }, "output_type": "display_data" } ], "source": [ "stocks.vgplot.line()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result is beautiful data visualisations with a minimum of boilerplate. In addition, the diagrams created from `pdvega` are interactive and can be moved and enlarged/shrunk." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simple data visualisations with `data.vgplot`\n", "\n", "The central interface of `pdvega` is the `vgplot` attribute, which is added to pandas `DataFrame` and `Series` objects.\n", "\n", "As with the pandas plots, there are two ways to create diagrams:\n", "\n", "1. the `vgplot` attribute of a pandas object can be called directly, for example\n", "\n", "``` Python\n", "iris.vgplot(kind=\"scatter\", x=\"sepalLength\", y=\"petalLength\", c=\"species\")\n", "```\n", "\n", "2. Alternatively, the specific method assigned to each chart type can also be called:\n", "\n", "``` Python\n", "iris.vgplot.scatter(x=\"sepalLength\", y=\"petalLength\", c=\"species\")\n", "```\n", "\n", "This approach offers the advantage that available plot types can be analysed via tab completion. The individual functions also provide more detailed documentation of the arguments available for each method." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Diagram types\n", "\n", "The `vgplot` API provides nine basic diagram types:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Line charts with `vgplot.line`\n", "\n", "The default chart type for `vgplot` is a line chart.\n", "\n", "Unless otherwise specified, the index of `DataFrame` or `Series` is used as the x-axis variable, and a separate line for the y-values of each column of the `DataFrame`. If you only want to plot a subset of the columns, you can use pandas indexing to select the columns you are interested in:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\"variable\": \"AMZN\", \"value\": 73.44}, {\"date\": \"2009-04-01\", \"variable\": \"AMZN\", \"value\": 80.52}, {\"date\": \"2009-05-01\", \"variable\": \"AMZN\", \"value\": 77.99}, {\"date\": \"2009-06-01\", \"variable\": \"AMZN\", \"value\": 83.66}, {\"date\": \"2009-07-01\", \"variable\": \"AMZN\", \"value\": 85.76}, {\"date\": \"2009-08-01\", \"variable\": \"AMZN\", \"value\": 81.19}, {\"date\": \"2009-09-01\", \"variable\": \"AMZN\", \"value\": 93.36}, {\"date\": \"2009-10-01\", \"variable\": \"AMZN\", \"value\": 118.81}, {\"date\": \"2009-11-01\", \"variable\": \"AMZN\", \"value\": 135.91}, {\"date\": \"2009-12-01\", \"variable\": \"AMZN\", \"value\": 134.52}, {\"date\": \"2010-01-01\", \"variable\": \"AMZN\", \"value\": 125.41}, {\"date\": \"2010-02-01\", \"variable\": \"AMZN\", \"value\": 118.4}, {\"date\": \"2010-03-01\", \"variable\": \"AMZN\", \"value\": 128.82}]}};\n", "var opt = {};\n", "var selector = \"#cfb3a69b-e298-4485-add6-eeec30929afe\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#cfb3a69b-e298-4485-add6-eeec30929afe" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#cfb3a69b-e298-4485-add6-eeec30929afe" }, "output_type": "display_data" } ], "source": [ "stocks[['AAPL', 'AMZN']].vgplot.line()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Line diagrams can be further customised. Information on this can be found in the documentation:\n", "\n", "* [pdvega.FramePlotMethods.line()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.line)\n", "* [pdvega.SeriesPlotMethods.line()](https://altair-viz.github.io/pdvega/API.html#pdvega.SeriesPlotMethods.line)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Scatter plots with `vgplot.scatter`" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#4199f95b-b6bb-41e3-bbcd-e336a14658af" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"AAPL\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"AMZN\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"AAPL\": 25.94, \"AMZN\": 64.56}, {\"AAPL\": 28.66, \"AMZN\": 68.87}, {\"AAPL\": 33.95, \"AMZN\": 67.0}, {\"AAPL\": 31.01, \"AMZN\": 55.19}, {\"AAPL\": 21.0, \"AMZN\": 48.31}, {\"AAPL\": 26.19, \"AMZN\": 36.31}, {\"AAPL\": 25.41, \"AMZN\": 30.12}, {\"AAPL\": 30.47, \"AMZN\": 41.5}, {\"AAPL\": 12.88, \"AMZN\": 38.44}, {\"AAPL\": 9.78, \"AMZN\": 36.62}, {\"AAPL\": 8.25, \"AMZN\": 24.69}, {\"AAPL\": 7.44, \"AMZN\": 15.56}, {\"AAPL\": 10.81, \"AMZN\": 17.31}, 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{\"AAPL\": 125.02, \"AMZN\": 64.47}, {\"AAPL\": 143.5, \"AMZN\": 71.3}, {\"AAPL\": 173.95, \"AMZN\": 78.63}, {\"AAPL\": 188.75, \"AMZN\": 81.62}, {\"AAPL\": 167.44, \"AMZN\": 73.33}, {\"AAPL\": 158.95, \"AMZN\": 76.34}, {\"AAPL\": 169.53, \"AMZN\": 80.81}, {\"AAPL\": 113.66, \"AMZN\": 72.76}, {\"AAPL\": 107.59, \"AMZN\": 57.24}, {\"AAPL\": 92.67, \"AMZN\": 42.7}, {\"AAPL\": 85.35, \"AMZN\": 51.28}, {\"AAPL\": 90.13, \"AMZN\": 58.82}, {\"AAPL\": 89.31, \"AMZN\": 64.79}, {\"AAPL\": 105.12, \"AMZN\": 73.44}, {\"AAPL\": 125.83, \"AMZN\": 80.52}, {\"AAPL\": 135.81, \"AMZN\": 77.99}, {\"AAPL\": 142.43, \"AMZN\": 83.66}, {\"AAPL\": 163.39, \"AMZN\": 85.76}, {\"AAPL\": 168.21, \"AMZN\": 81.19}, {\"AAPL\": 185.35, \"AMZN\": 93.36}, {\"AAPL\": 188.5, \"AMZN\": 118.81}, {\"AAPL\": 199.91, \"AMZN\": 135.91}, {\"AAPL\": 210.73, \"AMZN\": 134.52}, {\"AAPL\": 192.06, \"AMZN\": 125.41}, {\"AAPL\": 204.62, \"AMZN\": 118.4}, {\"AAPL\": 223.02, \"AMZN\": 128.82}]}};\n", "var opt = {};\n", "var selector = \"#4199f95b-b6bb-41e3-bbcd-e336a14658af\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#4199f95b-b6bb-41e3-bbcd-e336a14658af" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#4199f95b-b6bb-41e3-bbcd-e336a14658af" }, "output_type": "display_data" } ], "source": [ "stocks.vgplot.scatter(x=\"AAPL\", y=\"AMZN\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To further customise scatter plots, check out [pdvega.FramePlotMethods.scatter()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.scatter)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Area plots with `vgplot.area`" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#4bd071c2-d852-4434-b5dc-8cda3ba86e35" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"area\", \"encoding\": {\"x\": {\"field\": \"date\", \"type\": \"temporal\"}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": \"zero\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"date\": \"2000-01-01\", \"variable\": \"MSFT\", \"value\": 39.81}, {\"date\": \"2000-02-01\", \"variable\": \"MSFT\", \"value\": 36.35}, {\"date\": \"2000-03-01\", \"variable\": \"MSFT\", \"value\": 43.22}, {\"date\": \"2000-04-01\", \"variable\": \"MSFT\", \"value\": 28.37}, {\"date\": \"2000-05-01\", \"variable\": \"MSFT\", \"value\": 25.45}, {\"date\": \"2000-06-01\", \"variable\": \"MSFT\", \"value\": 32.54}, {\"date\": \"2000-07-01\", \"variable\": \"MSFT\", \"value\": 28.4}, {\"date\": \"2000-08-01\", \"variable\": \"MSFT\", \"value\": 28.4}, {\"date\": \"2000-09-01\", \"variable\": \"MSFT\", \"value\": 24.53}, {\"date\": \"2000-10-01\", \"variable\": \"MSFT\", \"value\": 28.02}, {\"date\": \"2000-11-01\", \"variable\": \"MSFT\", \"value\": 23.34}, {\"date\": \"2000-12-01\", \"variable\": \"MSFT\", \"value\": 17.65}, {\"date\": \"2001-01-01\", \"variable\": \"MSFT\", \"value\": 24.84}, {\"date\": \"2001-02-01\", \"variable\": \"MSFT\", \"value\": 24.0}, {\"date\": \"2001-03-01\", \"variable\": \"MSFT\", \"value\": 22.25}, {\"date\": \"2001-04-01\", \"variable\": \"MSFT\", \"value\": 27.56}, {\"date\": \"2001-05-01\", \"variable\": \"MSFT\", \"value\": 28.14}, {\"date\": \"2001-06-01\", \"variable\": \"MSFT\", \"value\": 29.7}, {\"date\": \"2001-07-01\", \"variable\": \"MSFT\", \"value\": 26.93}, {\"date\": \"2001-08-01\", \"variable\": \"MSFT\", \"value\": 23.21}, {\"date\": \"2001-09-01\", \"variable\": \"MSFT\", \"value\": 20.82}, {\"date\": \"2001-10-01\", \"variable\": \"MSFT\", \"value\": 23.65}, {\"date\": \"2001-11-01\", \"variable\": \"MSFT\", \"value\": 26.12}, {\"date\": \"2001-12-01\", \"variable\": \"MSFT\", \"value\": 26.95}, {\"date\": \"2002-01-01\", \"variable\": \"MSFT\", \"value\": 25.92}, {\"date\": \"2002-02-01\", \"variable\": \"MSFT\", \"value\": 23.73}, {\"date\": \"2002-03-01\", \"variable\": \"MSFT\", \"value\": 24.53}, {\"date\": \"2002-04-01\", \"variable\": \"MSFT\", \"value\": 21.26}, {\"date\": \"2002-05-01\", \"variable\": \"MSFT\", \"value\": 20.71}, {\"date\": \"2002-06-01\", \"variable\": \"MSFT\", \"value\": 22.25}, {\"date\": \"2002-07-01\", \"variable\": \"MSFT\", \"value\": 19.52}, {\"date\": \"2002-08-01\", \"variable\": \"MSFT\", \"value\": 19.97}, {\"date\": \"2002-09-01\", \"variable\": \"MSFT\", \"value\": 17.79}, {\"date\": \"2002-10-01\", \"variable\": \"MSFT\", \"value\": 21.75}, {\"date\": 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\"variable\": \"MSFT\", \"value\": 22.69}, {\"date\": \"2004-02-01\", \"variable\": \"MSFT\", \"value\": 21.77}, {\"date\": \"2004-03-01\", \"variable\": \"MSFT\", \"value\": 20.46}, {\"date\": \"2004-04-01\", \"variable\": \"MSFT\", \"value\": 21.45}, {\"date\": \"2004-05-01\", \"variable\": \"MSFT\", \"value\": 21.53}, {\"date\": \"2004-06-01\", \"variable\": \"MSFT\", \"value\": 23.44}, {\"date\": \"2004-07-01\", \"variable\": \"MSFT\", \"value\": 23.38}, {\"date\": \"2004-08-01\", \"variable\": \"MSFT\", \"value\": 22.47}, {\"date\": \"2004-09-01\", \"variable\": \"MSFT\", \"value\": 22.76}, {\"date\": \"2004-10-01\", \"variable\": \"MSFT\", \"value\": 23.02}, {\"date\": \"2004-11-01\", \"variable\": \"MSFT\", \"value\": 24.6}, {\"date\": \"2004-12-01\", \"variable\": \"MSFT\", \"value\": 24.52}, {\"date\": \"2005-01-01\", \"variable\": \"MSFT\", \"value\": 24.11}, {\"date\": \"2005-02-01\", \"variable\": \"MSFT\", \"value\": 23.15}, {\"date\": \"2005-03-01\", \"variable\": \"MSFT\", \"value\": 22.24}, {\"date\": \"2005-04-01\", \"variable\": \"MSFT\", \"value\": 23.28}, {\"date\": \"2005-05-01\", \"variable\": \"MSFT\", \"value\": 23.82}, {\"date\": \"2005-06-01\", \"variable\": \"MSFT\", \"value\": 22.93}, {\"date\": \"2005-07-01\", \"variable\": \"MSFT\", \"value\": 23.64}, {\"date\": \"2005-08-01\", \"variable\": \"MSFT\", \"value\": 25.35}, {\"date\": \"2005-09-01\", \"variable\": \"MSFT\", \"value\": 23.83}, {\"date\": \"2005-10-01\", \"variable\": \"MSFT\", \"value\": 23.8}, {\"date\": \"2005-11-01\", \"variable\": \"MSFT\", \"value\": 25.71}, {\"date\": \"2005-12-01\", \"variable\": \"MSFT\", \"value\": 24.29}, {\"date\": \"2006-01-01\", \"variable\": \"MSFT\", \"value\": 26.14}, {\"date\": \"2006-02-01\", \"variable\": \"MSFT\", \"value\": 25.04}, {\"date\": \"2006-03-01\", \"variable\": \"MSFT\", \"value\": 25.36}, {\"date\": \"2006-04-01\", \"variable\": \"MSFT\", \"value\": 22.5}, {\"date\": \"2006-05-01\", \"variable\": \"MSFT\", \"value\": 21.19}, {\"date\": \"2006-06-01\", \"variable\": \"MSFT\", \"value\": 21.8}, {\"date\": \"2006-07-01\", \"variable\": \"MSFT\", \"value\": 22.51}, {\"date\": \"2006-08-01\", \"variable\": \"MSFT\", \"value\": 24.13}, {\"date\": \"2006-09-01\", \"variable\": \"MSFT\", \"value\": 25.68}, {\"date\": \"2006-10-01\", \"variable\": \"MSFT\", \"value\": 26.96}, {\"date\": \"2006-11-01\", \"variable\": \"MSFT\", \"value\": 27.66}, {\"date\": \"2006-12-01\", \"variable\": \"MSFT\", \"value\": 28.13}, {\"date\": \"2007-01-01\", \"variable\": \"MSFT\", \"value\": 29.07}, {\"date\": \"2007-02-01\", \"variable\": \"MSFT\", \"value\": 26.63}, {\"date\": \"2007-03-01\", \"variable\": \"MSFT\", \"value\": 26.35}, {\"date\": \"2007-04-01\", \"variable\": \"MSFT\", \"value\": 28.3}, {\"date\": \"2007-05-01\", \"variable\": \"MSFT\", \"value\": 29.11}, {\"date\": \"2007-06-01\", \"variable\": \"MSFT\", \"value\": 27.95}, {\"date\": \"2007-07-01\", \"variable\": \"MSFT\", \"value\": 27.5}, {\"date\": \"2007-08-01\", \"variable\": \"MSFT\", \"value\": 27.34}, {\"date\": \"2007-09-01\", \"variable\": \"MSFT\", \"value\": 28.04}, {\"date\": \"2007-10-01\", \"variable\": \"MSFT\", \"value\": 35.03}, {\"date\": \"2007-11-01\", \"variable\": \"MSFT\", \"value\": 32.09}, {\"date\": \"2007-12-01\", \"variable\": \"MSFT\", \"value\": 34.0}, {\"date\": \"2008-01-01\", \"variable\": \"MSFT\", \"value\": 31.13}, {\"date\": \"2008-02-01\", \"variable\": \"MSFT\", \"value\": 26.07}, {\"date\": \"2008-03-01\", \"variable\": \"MSFT\", \"value\": 27.21}, {\"date\": \"2008-04-01\", \"variable\": \"MSFT\", \"value\": 27.34}, {\"date\": \"2008-05-01\", \"variable\": \"MSFT\", \"value\": 27.25}, {\"date\": \"2008-06-01\", \"variable\": \"MSFT\", \"value\": 26.47}, {\"date\": \"2008-07-01\", \"variable\": \"MSFT\", \"value\": 24.75}, {\"date\": \"2008-08-01\", \"variable\": \"MSFT\", \"value\": 26.36}, {\"date\": \"2008-09-01\", \"variable\": \"MSFT\", \"value\": 25.78}, {\"date\": \"2008-10-01\", 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\"AMZN\", \"value\": 81.19}, {\"date\": \"2009-09-01\", \"variable\": \"AMZN\", \"value\": 93.36}, {\"date\": \"2009-10-01\", \"variable\": \"AMZN\", \"value\": 118.81}, {\"date\": \"2009-11-01\", \"variable\": \"AMZN\", \"value\": 135.91}, {\"date\": \"2009-12-01\", \"variable\": \"AMZN\", \"value\": 134.52}, {\"date\": \"2010-01-01\", \"variable\": \"AMZN\", \"value\": 125.41}, {\"date\": \"2010-02-01\", \"variable\": \"AMZN\", \"value\": 118.4}, {\"date\": \"2010-03-01\", \"variable\": \"AMZN\", \"value\": 128.82}]}};\n", "var opt = {};\n", "var selector = \"#4bd071c2-d852-4434-b5dc-8cda3ba86e35\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#4bd071c2-d852-4434-b5dc-8cda3ba86e35" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#4bd071c2-d852-4434-b5dc-8cda3ba86e35" }, "output_type": "display_data" } ], "source": [ "stocks[[\"MSFT\", \"AAPL\", \"AMZN\"]].vgplot.area()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Area diagrams can also be stacked. In this case, transparent areas are often helpful." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#e3e20e98-b9f8-4a60-8723-c5552968aa89" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"area\", \"encoding\": {\"x\": {\"field\": \"date\", \"type\": \"temporal\"}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": null}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}, \"opacity\": {\"value\": 0.4}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"date\": \"2000-01-01\", \"variable\": \"MSFT\", \"value\": 39.81}, {\"date\": \"2000-02-01\", \"variable\": \"MSFT\", \"value\": 36.35}, {\"date\": \"2000-03-01\", \"variable\": \"MSFT\", \"value\": 43.22}, {\"date\": \"2000-04-01\", \"variable\": \"MSFT\", \"value\": 28.37}, {\"date\": \"2000-05-01\", \"variable\": \"MSFT\", \"value\": 25.45}, {\"date\": \"2000-06-01\", \"variable\": \"MSFT\", \"value\": 32.54}, {\"date\": \"2000-07-01\", \"variable\": \"MSFT\", \"value\": 28.4}, {\"date\": \"2000-08-01\", \"variable\": \"MSFT\", \"value\": 28.4}, {\"date\": \"2000-09-01\", \"variable\": \"MSFT\", \"value\": 24.53}, {\"date\": \"2000-10-01\", \"variable\": \"MSFT\", \"value\": 28.02}, {\"date\": \"2000-11-01\", \"variable\": \"MSFT\", \"value\": 23.34}, {\"date\": \"2000-12-01\", \"variable\": \"MSFT\", \"value\": 17.65}, {\"date\": \"2001-01-01\", \"variable\": \"MSFT\", \"value\": 24.84}, {\"date\": \"2001-02-01\", \"variable\": \"MSFT\", \"value\": 24.0}, {\"date\": \"2001-03-01\", \"variable\": \"MSFT\", \"value\": 22.25}, {\"date\": \"2001-04-01\", \"variable\": \"MSFT\", \"value\": 27.56}, {\"date\": \"2001-05-01\", \"variable\": \"MSFT\", \"value\": 28.14}, {\"date\": \"2001-06-01\", \"variable\": \"MSFT\", \"value\": 29.7}, {\"date\": \"2001-07-01\", \"variable\": \"MSFT\", \"value\": 26.93}, {\"date\": \"2001-08-01\", \"variable\": \"MSFT\", \"value\": 23.21}, {\"date\": \"2001-09-01\", \"variable\": \"MSFT\", \"value\": 20.82}, {\"date\": \"2001-10-01\", \"variable\": \"MSFT\", \"value\": 23.65}, {\"date\": \"2001-11-01\", \"variable\": \"MSFT\", \"value\": 26.12}, {\"date\": \"2001-12-01\", \"variable\": \"MSFT\", \"value\": 26.95}, {\"date\": \"2002-01-01\", \"variable\": \"MSFT\", \"value\": 25.92}, {\"date\": \"2002-02-01\", \"variable\": \"MSFT\", \"value\": 23.73}, {\"date\": \"2002-03-01\", \"variable\": \"MSFT\", \"value\": 24.53}, {\"date\": \"2002-04-01\", \"variable\": \"MSFT\", \"value\": 21.26}, {\"date\": \"2002-05-01\", \"variable\": \"MSFT\", \"value\": 20.71}, {\"date\": \"2002-06-01\", \"variable\": \"MSFT\", \"value\": 22.25}, {\"date\": \"2002-07-01\", \"variable\": \"MSFT\", \"value\": 19.52}, {\"date\": \"2002-08-01\", \"variable\": \"MSFT\", \"value\": 19.97}, {\"date\": \"2002-09-01\", \"variable\": \"MSFT\", \"value\": 17.79}, {\"date\": \"2002-10-01\", \"variable\": 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" }, "metadata": { "jupyter-vega3": "#e3e20e98-b9f8-4a60-8723-c5552968aa89" }, "output_type": "display_data" } ], "source": [ "stocks[[\"MSFT\", \"AAPL\", \"AMZN\"]].vgplot.area(stacked=False, alpha=0.4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Area diagrams can be further customised, see\n", "\n", "* [pdvega.FramePlotMethods.area()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.area)\n", "* [pdvega.SeriesPlotMethods.area()](https://altair-viz.github.io/pdvega/API.html#pdvega.SeriesPlotMethods.area)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Bar charts with `vgplot.bar`" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#e30a6424-594e-4e81-8305-38d9b45dd1a7" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"index\", \"type\": \"ordinal\"}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": null}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}, \"opacity\": {\"value\": 0.7}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"index\": 0, \"variable\": \"a\", \"value\": 0.1915194503788923}, {\"index\": 1, \"variable\": \"a\", \"value\": 0.4377277390071145}, {\"index\": 2, \"variable\": \"a\", \"value\": 0.7799758081188035}, {\"index\": 3, \"variable\": \"a\", \"value\": 0.2764642551430967}, {\"index\": 4, \"variable\": \"a\", \"value\": 0.9581393536837052}, {\"index\": 5, \"variable\": \"a\", \"value\": 0.35781726995786667}, {\"index\": 6, \"variable\": \"a\", \"value\": 0.6834629351721363}, {\"index\": 7, \"variable\": \"a\", \"value\": 0.37025075479039493}, {\"index\": 8, \"variable\": \"a\", \"value\": 0.5030831653078097}, {\"index\": 9, \"variable\": \"a\", \"value\": 0.772826621612374}, {\"index\": 0, \"variable\": \"b\", \"value\": 0.6221087710398319}, {\"index\": 1, \"variable\": \"b\", \"value\": 0.7853585837137692}, {\"index\": 2, \"variable\": \"b\", \"value\": 0.2725926052826416}, {\"index\": 3, \"variable\": \"b\", \"value\": 0.8018721775350193}, {\"index\": 4, \"variable\": \"b\", \"value\": 0.8759326347420947}, {\"index\": 5, \"variable\": \"b\", \"value\": 0.5009951255234587}, {\"index\": 6, \"variable\": \"b\", \"value\": 0.7127020269829002}, {\"index\": 7, \"variable\": \"b\", \"value\": 0.5611961860656249}, {\"index\": 8, \"variable\": \"b\", \"value\": 0.013768449590682241}, {\"index\": 9, \"variable\": \"b\", \"value\": 0.8826411906361166}]}};\n", "var opt = {};\n", "var selector = \"#e30a6424-594e-4e81-8305-38d9b45dd1a7\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#e30a6424-594e-4e81-8305-38d9b45dd1a7" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#e30a6424-594e-4e81-8305-38d9b45dd1a7" }, "output_type": "display_data" } ], "source": [ "np.random.seed(1234)\n", "df = pd.DataFrame(np.random.rand(10, 2), columns=[\"a\", \"b\"])\n", "\n", "df.vgplot.bar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As with area diagrams, you can stack the bars with `stacked=True`:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#5080dd79-9124-4aed-8eb7-b1cfaa3023f2" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"index\", \"type\": \"ordinal\"}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": \"zero\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"index\": 0, \"variable\": \"a\", \"value\": 0.1915194503788923}, {\"index\": 1, \"variable\": \"a\", \"value\": 0.4377277390071145}, {\"index\": 2, \"variable\": \"a\", \"value\": 0.7799758081188035}, {\"index\": 3, \"variable\": \"a\", \"value\": 0.2764642551430967}, {\"index\": 4, \"variable\": \"a\", \"value\": 0.9581393536837052}, {\"index\": 5, \"variable\": \"a\", \"value\": 0.35781726995786667}, {\"index\": 6, \"variable\": \"a\", \"value\": 0.6834629351721363}, {\"index\": 7, \"variable\": \"a\", \"value\": 0.37025075479039493}, {\"index\": 8, \"variable\": \"a\", \"value\": 0.5030831653078097}, {\"index\": 9, \"variable\": \"a\", \"value\": 0.772826621612374}, {\"index\": 0, \"variable\": \"b\", \"value\": 0.6221087710398319}, {\"index\": 1, \"variable\": \"b\", \"value\": 0.7853585837137692}, {\"index\": 2, \"variable\": \"b\", \"value\": 0.2725926052826416}, {\"index\": 3, \"variable\": \"b\", \"value\": 0.8018721775350193}, {\"index\": 4, \"variable\": \"b\", \"value\": 0.8759326347420947}, {\"index\": 5, \"variable\": \"b\", \"value\": 0.5009951255234587}, {\"index\": 6, \"variable\": \"b\", \"value\": 0.7127020269829002}, {\"index\": 7, \"variable\": \"b\", \"value\": 0.5611961860656249}, {\"index\": 8, \"variable\": \"b\", \"value\": 0.013768449590682241}, {\"index\": 9, \"variable\": \"b\", \"value\": 0.8826411906361166}]}};\n", "var opt = {};\n", "var selector = \"#5080dd79-9124-4aed-8eb7-b1cfaa3023f2\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#5080dd79-9124-4aed-8eb7-b1cfaa3023f2" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#5080dd79-9124-4aed-8eb7-b1cfaa3023f2" }, "output_type": "display_data" } ], "source": [ "df.vgplot.bar(stacked=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In addition, horizontal bar charts can be created with `barh`:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega3": "#bf5458a9-3fb2-4de3-99ec-36661229e3dd" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": \"zero\"}, \"y\": {\"field\": \"index\", \"type\": \"ordinal\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"index\": 0, \"variable\": \"a\", \"value\": 0.1915194503788923}, {\"index\": 1, \"variable\": \"a\", \"value\": 0.4377277390071145}, {\"index\": 2, \"variable\": \"a\", \"value\": 0.7799758081188035}, {\"index\": 3, \"variable\": \"a\", \"value\": 0.2764642551430967}, {\"index\": 4, \"variable\": \"a\", \"value\": 0.9581393536837052}, {\"index\": 5, \"variable\": \"a\", \"value\": 0.35781726995786667}, {\"index\": 6, \"variable\": \"a\", \"value\": 0.6834629351721363}, {\"index\": 7, \"variable\": \"a\", \"value\": 0.37025075479039493}, {\"index\": 8, \"variable\": \"a\", \"value\": 0.5030831653078097}, {\"index\": 9, \"variable\": \"a\", \"value\": 0.772826621612374}, {\"index\": 0, \"variable\": \"b\", \"value\": 0.6221087710398319}, {\"index\": 1, \"variable\": \"b\", \"value\": 0.7853585837137692}, {\"index\": 2, \"variable\": \"b\", \"value\": 0.2725926052826416}, {\"index\": 3, \"variable\": \"b\", \"value\": 0.8018721775350193}, {\"index\": 4, \"variable\": \"b\", \"value\": 0.8759326347420947}, {\"index\": 5, \"variable\": \"b\", \"value\": 0.5009951255234587}, {\"index\": 6, \"variable\": \"b\", \"value\": 0.7127020269829002}, {\"index\": 7, \"variable\": \"b\", \"value\": 0.5611961860656249}, {\"index\": 8, \"variable\": \"b\", \"value\": 0.013768449590682241}, {\"index\": 9, \"variable\": \"b\", \"value\": 0.8826411906361166}]}};\n", "var opt = {};\n", "var selector = \"#bf5458a9-3fb2-4de3-99ec-36661229e3dd\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#bf5458a9-3fb2-4de3-99ec-36661229e3dd" }, "output_type": "display_data" }, { "data": { "image/png": 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"\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#c5937265-98b7-4b8f-9a4c-d3dac7e5df83" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega3": "#c5937265-98b7-4b8f-9a4c-d3dac7e5df83" }, "output_type": "display_data" } ], "source": [ "df = pd.DataFrame(\n", " {\n", " \"a\": np.random.randn(1000) + 1,\n", " \"b\": np.random.randn(1000),\n", " \"c\": np.random.randn(1000) - 1,\n", " },\n", " columns=[\"a\", \"b\", \"c\"],\n", ")\n", "\n", "df.vgplot.hist(bins=50, alpha=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Histograms can be further customised, see\n", "\n", "* [pdvega.FramePlotMethods.hist()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.hist)\n", "* [pdvega.SeriesPlotMethods.hist()](https://altair-viz.github.io/pdvega/API.html#pdvega.SeriesPlotMethods.hist)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Core density estimation diagrams with `vgplot.kde`\n", "\n", "Similar to histograms, [kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) (KDE) diagrams generate smooth curves that indicate the density of the measurement points." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" }, "metadata": { "jupyter-vega3": "#6bffdc35-3cf9-41ff-83fa-a3e8dbb05d90" }, "output_type": "display_data" } ], "source": [ "df.vgplot.kde()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "KDE diagrams can be further customised with\n", "\n", "* [pdvega.FramePlotMethods.kde()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.kde)\n", "* [pdvega.SeriesPlotMethods.kde()](https://altair-viz.github.io/pdvega/API.html#pdvega.SeriesPlotMethods.kde)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Heatmaps with `vgplot.heatmap`\n", "\n", "`pandas.plotting` has a function for creating a hexagonal grouped heatmap of two-dimensional data. Unfortunately, neither Vega nor Vega-Lite currently support these hexagonal heatmaps. However, they do support Cartesian heatmaps, and this functionality is also included in `pdvega`:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" }, "metadata": { "jupyter-vega3": "#392cdfac-ac33-4b15-9d27-7f13c9a93ecc" }, "output_type": "display_data" } ], "source": [ "df.vgplot.heatmap(x=\"a\", y=\"b\", C=\"c\", gridsize=20)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Heatmap diagrams can be further customised, see [pdvega.FramePlotMethods.heatmap()](https://altair-viz.github.io/pdvega/API.html#pdvega.FramePlotMethods.heatmap)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Statistical visualisation with `pdvega.plotting`\n", "\n", "`pdvega` also supports many of the more complex plotting routines available in the [pandas.plotting](https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html#plotting-tools) submodule. Below we show the example of a multi-panel scatterplot matrix from [Fisher’s Iris](https://en.wikipedia.org/wiki/Iris_flower_data_set) dataset:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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\"type\": \"quantitative\"}, \"y\": {\"field\": {\"repeat\": \"row\"}, \"type\": \"quantitative\"}, \"color\": {\"condition\": {\"selection\": \"brush\", \"field\": \"species\", \"type\": \"nominal\"}, \"value\": \"grey\"}}, \"width\": 100.8, \"height\": 100.8}, \"data\": {\"values\": [{\"sepalLength\": 5.1, \"sepalWidth\": 3.5, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 3.0, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.7, \"sepalWidth\": 3.2, \"petalLength\": 1.3, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.6, \"sepalWidth\": 3.1, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.6, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.9, \"petalLength\": 1.7000000000000002, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 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\"petalLength\": 5.1, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 6.8, \"sepalWidth\": 3.2, \"petalLength\": 5.9, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.3, \"petalLength\": 5.7, \"petalWidth\": 2.5, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.0, \"petalLength\": 5.2, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.5, \"petalLength\": 5.0, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 3.0, \"petalLength\": 5.2, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 6.2, \"sepalWidth\": 3.4, \"petalLength\": 5.4, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 5.9, \"sepalWidth\": 3.0, \"petalLength\": 5.1, \"petalWidth\": 1.8, \"species\": \"virginica\"}]}};\n", "var opt = {};\n", "var selector = \"#7eeef923-b9d5-49d7-87d9-019e949cae80\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "\n", "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n", " vega.render(selector, spec, type, opt, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega3": "#7eeef923-b9d5-49d7-87d9-019e949cae80" }, "output_type": "display_data" }, { "data": { "image/png": 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1SgZ0gnsZxR/qhPziRBZGT9wUPk4rYwIhNYySnY7Q6BHL5PgAo7guXhZqNqg0yAi2GZHs5JybO5tvvW5/csFN8aY5U/Sm2YEbAYbEde6Kh0GkRz1xffLwxHV+r9N2y3evaKoI9BhhKcMItuMU8/ism7sTc6c061TqFMVisM0o6dUpeS6XwwCeuPaQRxTy4HIyJE9VowmmgupSUbTJrPbd2quOnZtS0IdmDUqaCjrYWTV+R2L+5ESysqi+KTwtwCSpKGdAKNcl6VFGcaNjvdnOCNnp5ADep0tSaa67h47xBP322zij5IAzUL0rGm5iFO9KVBSPiYfxC4zg5jglnXFKOg1C2uNhfDhRUewbsiCRmkQ49C0mSUWuZdzzeR19FJK4NhW0wVRQXbeCpqeiY+VeBb1vqai9bck3rMT84tbE/MkJY+b0HYzi7Y4g2iUq6JH3RFo9qVuk0cM9jODuOMUDjGBLnzuHxwluYgRbjEjdTkDt6y7fj9VPT9wUPk6Xv+33XDEzXuF/k5WVJJyVjU5GQ/1GGA8FeRHMRQYF3MvCJX3xmdNTzd//2hSAIeNAnOIlCUrHGxhPO9p15FT77PEv/7hQxHVyzrWzjbCUMSjmBsWcEUlYrim2myqmmQYRE0edYFuXpP8e7hxnQVx7OF9RyIPLyZC8W0HTLRXtMFW001LRNlNFH5gKarMUZPaqYz/qV3wlzYuufzcxf3KiaXZwz1AgTuj5jrsmXN96+7dLWLh0KyP4HUbJh4ySDxnBb+hEWn/0tQ4EAuP1eXO5E/C4P07p2zqRGCO4z6C42SkY025Q3BOn5ECc4j1MVMAzGcFbmzC+nlFpM6PS5niYbIuHiQiGpHilN7iMPgpBXHeuRuP6VTTeVNAWU0F13Ws+M8dSUaulotaeBy5OJisn9SfmF7e1333lnk75sq0GwW8YhLQyiht1gl9nJPSxjnEfo7ifEdwXF4E6abeMrx4mnGE8qBPcoRP8F51Iz+oYl58oJsDjX+FjJPxNVBSPSVA6PkHpeNc6x9ehMSkFPequkrTdefUHRnhGH8PSoCOkbV0KcYPkZlGQ7Dgl6XhZab+x+Ko1ANk0f9rRAY0sJ6f2qfQZwOPfaOBCENfxeZPuYiRkN1FsN7nuIFSyXYGtE8yZk27PICR5rPN74vrcwN+CyD+4DAAiOa2gUMiDy8mQvGf12BtMFSVSKuo2FbQ3FUWHTQX1mSpKm6qv01RQnaWgre33jGfNi65/lxFSk1ww6Yme+z//ojvYtH7/W3vj5SU6I3i/095i4dLA0dfSMZ6gz67ghsiX2SMsPyTFKE4zgjv0UOgZRnC/47+423E56RLLrdhyspRsZzR7nf1xSl5ltHRingeXgufghSauUyt8KFfgmCpKmCpKmApqM1XUl1J8nV0rx7UnKyelWxZ/x+qMfKm9edGNFguHOnUxebMYwW8YVHpbp3jAyA4kojEicYNIab28jOsU9+tE+gULS0Un6p8Lj3+FjxPxl9HSidlAV5G3OsZo6UQzihY6vHs6VY3Ku1b8WzUrK+k3qGQbQynJhNWPltqMSJxRIUocod0dp9LPAYS/v05CC7NuSifg2FkS1x7/4PwX1923Xx00CD6Kw5KwXBPMmfjMGcUDOsbHLY7kietzA7UwlKg7txUUCnlwORHJUyt8KOtnraI/mwoatFTfoKmilKki01KRbarIthSUMqNovan6tpsqSphR9GvXjcQJIFvfvmzC7xPzJycS8ycn4rOmPpWNrB/GP1WXpFJ9Zjk3CLYYwQ2M4P1GGDeJamckxbC0VZSYxp06kZ6OE/KzbOQyliwd441u7muG8RNuMJBBSezwyy/fmMfBpeA5eKGJa7MaPWUqaL+p+gxTQYdTim/QdHhqqr5BS0F9Pas+359cOGkwuaAolVgwqT9ROanPmBU0dSL16xT3G2F8mBFpn0FJxvWPZTnWRh3jPn3+PM4I3nZ0wM6JkGdx4/FvFHA8/uYWj9GJtN59tzCK67pXjqszFVSXWuFDloImti352uvx8hm2UVZqM4JtV6AYFNtG2YyhCRstTTMqZRgVWWd0SRour+4p9zkXHv/yj/NZXPN1yJc7OTQItnUxQbQZwbZOJTE5DJdkmhdd/9TRPtZHwxPX5wZ6AOBjAFgFBTprBijsweWE4jrHAtijoo9MFaUtBWVMBXWZCuoxFZQxVcRNFQ2YCvqdpaD3TAUlTQW9YqpopevrCiD8CJtmBz5sufW6+sS8yb8WFhnpF7kZRnSMr4+H8QsM4306JVwXeTJXOkUUnmIU9+kUDzRiqd7xW+xz9t/ipLiyGcZJJ7vIbh1LbzMqLQUYSm+V52whBc/BC0lcOxO6g6aCGk3Vt1kI7LH9popsU0G2pfrSlupLm4pvsPmW63rjs6al4+Ul6Xj5tD6DhgYNggcNitOMSH0MOyn3iGQzjNMGwYM6wQOMkrROpJ7Gu+/iwjdb8GukyLO48fg3Cjgef92sQ7mTKreYTNud39xtqr7NpoJ+ZCpof+vt3+6Jz5xhG+Fp3BXXwtKHuftXxxI3ykt6WVhqYRS/64jrx/LZ51x4/Ms/zldxzcoD1Yw4bkxiYsiNcKltkBLbWXERIptKPLnwxgMjSXU6muK6aMkm5I/UlgWqtJWBKm2lP1JbVrRk07CB5R6Oj3dBJOouaBTy4HI8kmctz9XoJSuKlqSivt+bCho0Vd+AGUUfpKrRw6aC+lMK4pbqy5iqr1M0lDIV9JSpCot3qhpNAAAQ/s+htqZZU7viM2c0MIp3MUo+ZlSq1wl5zMD4QUZw0gkqa9PDhDtWwx7HP7tVJzjDiDTIiJR0HvaMQbBlUNwvfsODOpb+2wkI2i58Z0XqvlHKFlLwHLyQxHWv4ptpqqjdVFGDGfU9ZqooLjiLbFNFGTOKelKKL2OqvnTn8iv6WbjENoTPYDobbOZYF3XiWGSwuwSKbUZxRvgU4n42d46wXB8neHE45FncePwbBRyPv8NlImK0dCIjeEvTnCkN7Xd9tbNl/qT+lluu72uafbPNaNb1gxtDvqlcJ671T+JMZBDRG0KhRw1KEjoNPZPPPufC41/+cT6K6/isSc+5vM1ptkExj4cl173JNmjI1sOlAyM9/2iJa7+sTQ9GtLpgRKsLyNr6gKytz36vik3L9/Uc3AZD+bLPC4Sd9p8gEnbflbOt4NKtFPLgciJxnVLQ26aK9lsq2mYp6KCp+AZNYbluT0V9+0wFZczoRXbPfZeke1Z+MW4qF/WYCuo1FfSmqaL1poLqLBUt4evQGEZKtxtUGmRlpf1GeWkDo9InjJKBOJUGGcUfiZzBpJcRaevhUGi+Pns2dwIlbKe0dMYQy/OmjqU9jOBBg2CbYWlQF/7XGRHwKD3FiPQkI3hfPIz3xEnoh0209Cp3UGxYu3ZhHgaXc4aDF4q4PvTJXm4pY18zVdRnKqjHEisrtqn4MpaKMmbUlzFV1GYqvnTP/Z+3k/OLM0ZZaUaneIDRUksnIVsnoYxOMNcp5gw7gohg28AhmxFRxtqgeJARnNFFEZnfnmgZ9GjkSdx4/BtFDMdfN0C2aW7xakZxnU6nr2+//bvh9tu/G9bpjBcNShJGWUmPEZZsg0p2PIxtIxzKEdQhbpDQkOU6K04wZzRkG+GSHoPgj1kYt+oY/zgffR4OHv/yj/NNXMcr/K8aLj+x4DNzsoMMTQjFezJeVmqdzPlHQ1y7wjoQ0VYWL3sm+z4uXvbMmEBEWxmMaHV+WZt+vHOcIvaAKJN+3mA4H6+C9PcCKOzB5fiFN8ZenVJQs6kgM6X49lkK+kQELyLbqvENmFHU1rH8S7xl0Q12srLITlZOGmy55cZMV+QyO6X4OkwVbTdVn2Gqvu2mguriM6dbzsxXWJ8pzmRnw0RqYhQPMkoG4mH8y0RFsU+/5y7OCHazM6SE1RAPGhQ36ji0hFHJdAIY04zgViYS12cYkbqd7/1MlGZtFf7XuEEn+IUDb711TR4Gl3OGgxeKuDa2PslTiu91S0GmpaJBx2XJzrqEKCjTverzmdbbrrGbZge5EZbsI7M2YM4oybhR74xIXHcGkKOsNxkmSYNsZhnXcWiHQaRHj5XTejjkSdx4/BtF5PK3czUa56ZzNBVU17ni315PVARTRnlJv1FW0meUlfSxsJSJU2nQCIfSOb75bpCXzajkLJ8PuYMYQ378POvDKlqaYWnzyQTJHt3n48HjX/5xPonr+LJKHqdS1rdaBCtm+eq8AwWfdVqS7lg68Qsnc/58i+uiJZuQK6yPtY8rsEfgIvK/AGALiBWZ3QAww9k+AQBedbZvBYAvAEAFAJggSpz/1tnv2wDwNgC8D6IK4z8622c72951zg8AgAFgJ4iqkS9DgYj0x07QCgqFPLicSFybCrJM1TdgqsgyhWBOmwriloLSPas+1y1EdZHdcst30y23XTPofu9cOa7DVNDTKQW9nVJ9hqWgrfGy0IAzeGScwhvZpaZGLO1hFFuM4rRB8EFdkkobH1jFxTbSywg+4Ahli1G8Wce4nJHQuwbBaYMSIa4JtnSM+52UfEz4x+J+nWDdoPigUzXtxTwFNJ4zHLxQxHXyhWXciqKtloK6TdUV1j5XXHMzepGdXHATbyqfYQvrouNP7VplXJeQo8WRk2rKtWLrROphBLfqi2/lOsa/ZSOsGuoiT+LG498oor6+njvB3CtNBR10Ms7UWyp6qTNy2c7EvJv7m2bOGDTKpnexcEmPEcYZIyylHQufzagosJFdBRGuH25WBYd7IZuFSzPCyCDZrqWQhaWMQSXGCN56rCqfx+rzSPbz+Jd/nC/iuuu2by2J5070iJgMuqsvuiuqCeZsZmDEriC5yLe49sux8mBEq8u1WB+N4mXPjBHW69iJXPjmgFiNcfGPAPDXAPAnAPgXZ9uNIMqcAxxpuf4bAKgHgK843x8GAMX5XA8A/zPnnABD5dUBAOYBgHqCvp1R3AAAvpzv/wAAY89OV46NQh5cjrX8aaloiRkd+ytLQf2OoE45GUKs7hWX2m13XMWTC4oyiTl+3n7nVRlTQR+YKjrUvvxL6WRlkd16+7dTAADZ1FRRtJBR3MsothsJ7jUIaTJEJSfh+oFDzzOC9zNKBhgh/YzgHWzuHM4oSTGCP2a4VGKUGAbF3QbFe3Qc+rFBcZfIHoJ7HP/tFoOSrkZJ+rkoIiPtFttHNaDxBihwDp7P4jq1wodMFVWaUVTT+ePJ3FRRa0rxdWbdl1RkWyqyzSjirYuvsY2ZMzgrK+UsXCpENZFsFsYZg4qgRdfqqA+lR8swQiyxOiK5mUKaGcWbG5Qoz80cMdI+59nn9Qbw+Jd3HPpkLzcVtKFX9W12UzmmFLTVVFBdy+0T30ssmNTbtuTrLLXChxql0tsYkQaFz77EGZVso2yayARCpGxmBcNJX2a41uywlImXhQaMsNRjUCnNqGSz8hJLWMNLk4wSQ5ekR0fa57Pkc30DePw7L8R1r/zlaw0ayk0NyQ2K7bjIwMWNIR7bzYtu6OTrkO/EZ/008i2uAxFtZUDWPlUr41P7ydr641m3HUwAgIMA8CAAXONs+wIAdALANqe9DgCvOb/liusvAsCunHN9BQDcQjo/B4DfA8B8GBLVEwCgDgC2g7B2v3SieziT4HCkf1cYzsyS1F+DmN00AYAOAJXH27nQBhe+Do1JrUFFloLKjP/+OU+t8GWXSlLVaIKlophTifG97LJ6FDWmouidjuVftlzrdNOcKXZ85gy7ac4U3n7nV9s7ll3Z3bH88kxzZZHdsviaAUtBP+pZ7bvNSeNXwygeYFSyDSwNMkJSLCdvpk5CO3SpdLUoFUwyjOJOfWaZsFxL0god4+sZxfWMYosRqVWnoU8MKrI36Bi/qhPpKUakZkZxG6P4d4yQGhHMiLeNckDj2eBgwfPvTAw2YhLo+6WpoB2W6ns3te7fuKn6BnpVX6eloril+npM1ZexVGR3RS7jyfk32fHy6bZBQ9qcXDcAACAASURBVNwoC9lGOGQ7rkm2m1aKOUUQhMUaiwwPYmVkaAkfSy2M4rpDW/7AAQDcfMcj9b3Os7jx+DcKaHh3CzcVVNd13yV/7rjnK3rHXV9/v3PJVzemohf9oWXxtfHEgptSnff+++6mucWrxTtGGswNhjXCJdwIhwTXhiyBQ65FRLINWpoxxMROHEtL04lF3/lLcv5NXU2zp+w3KEkwgneMtM9nSVx7/INzX1yb8vjF8bISJ9BW4szxszZy3JlcYd2ISzKnc63RENfBSOyEk9ARimsAIZZngxC9VQBwCQDsO8a+IxXXfwXCZSQKAIdBWLHfAoDrnN8ngnANOeu4FABuBvEQP+h8vhkANgBA+gxc/w4QM45/ALEUcPHxdi6kwSW1wody/Qfbf1rKLRXFelVUBDBUKtpS0NLUarTUtf6lFF9n96qL33OFdcfyKzLtd161Lz5zBjfCIbtpdpAnKydlmub4edOcAG9bclXGKdzRY6pjdTOKFjKCe520PWkWJr268KG2GcFcx1KSEbzFIDipE9zBCIk1rn6AG1T6A8tWJ5N2M4qbGSWHGMENTFTO62YU78hargnudlL2rYyH8R6D4j2MSksTFcVj8hzQeDY5WPD8OxODTUpBzzm5rPemFN/rPev+nYtgW9+gpaB+S0GZlIJ4SkG8Y9kE3lQR5CzsLM2HHT9CGrIZKbENLAYV4WMtZUtUuzlcdeJwlWJbl6TDB2fMuLq+vp4zWjrR4ac20n7nSdx4/BtFGFuf5G13ffVwcn5xV6JyUl+iclJfYn5xW/OiG62WO76eTFRO6mu59TvtRjj0B4OGfqPT0gFGJVsnUjYDSM5fNzCWG9ksISHbICHboJKtkxBnVLLjM6cNtiz+TkeiclJfYsH3Oo2yULeOpbdH2uczLK49/uXgXBbXLXd+8yUWLnX4KeWmirSzk0IieKtT6bSENUDBu4VcDAB/73yeAQAxEJO5j2DI//pvYcj1YwcAuBV5h3MLiTqfv5hzjb8AwGXOOV3r/0NQIOJ6NRw7kOLDM3D9D2HoH/CEKKTBxc09nVKQlqpG5cm6VdzJ6BHrWYHGu78BAHSt+cwUIY5R2lRRqvPey3uSlUV225KruKn4OlrvnrDeKJ8q/FfLSnli7s12fNY0Oz5zht229KsDluJjKQVZpoJ6U4rvboNIFnODxWiOHyuVbJ3gTuEWgncxp0JZVrwQUqMTaT0jpKaRSPczQmoasfQHRskBhqW3GCE1jivIYUZw0iB4rxHGW9wiMgbBv2dDRR+ezlNA42o4exwseP6dicHGUlGDmMD5nkxVo6Xd6y7nporSKcfPOqUgbjqt9Y5vcWPmDM7CIW6UlQ4F6RzpAuJYp0v6hSWSZJhI72gzitM6wf2MkpRO8OuM4rpGVeEur9w87SNBnsTNavD4N2pgL2/gQuTeZLbe9p0P2pZ8nTXfcp3ZXDkp3XbH1f3JhTda8dkByygr6YtXTOtumh0YMMpLM4yW5BSGGQpeZBRzFg4J/oVFZUYjXGob5dOcYjKSbYRDdry8ZLBpZslAvCLYYZSV9MVnTX19pH0+w+J6NXj8y+JcFde9kcu/EC8TnNWPnAQOiepsrElpXq4/agGNVccPaPRHNG0EAY0zAOADAHgPhJ+1y7MrQLiEfAjCin2ns32B8/0N5/u3QQQtfgiiwJLrX/2yc94PAGCdsw2DCIZ8BgD+AwpEXEsgIjE5CNO6BmKG8TgAXDnK1/5rALAAYA2IJYE/gJjFHxPDPdyByMZxgSoRwRqQtVigSlt5JpKdmwraYKloZ0pBz5kKqmt7diZPRdErpoK2WNHPSKaC6npFJca/mCpqdX2uLRVZnfLl3cnKIrtt6dcypor2Ny+eGGuaOzljlM/g8Zkz7OaFkzKJBUU8Ma/Ybr39272OUH/bVFCLpaIXGZUsV8QYxMnska30JKUZwSbD0kcHZ8y4GmDkVdIMIj0ap3gJc0qgGxS3MUoMRnCjjqU/Zy3fhNQcnDYN5WlwOVsczAv/Rgp/pLYsIGsbRL7Q2KMjzRc62oMNX4fGmCrqcsqZM1NBvamaz3LHxzpjKj7bjCLuujW1LflGJj5zhm2UlQqBQx2BnRPI6H6Oz5yWMsL4Q0akDl0E0/YxgpsZlT5iRNqqE2k1o7jOCbjVTkZYA+RN3FwQ/DtbiD/3EE9UTuprue2a9pSCHk0pvme6V32+JVk5KdO86IaBjuWXReNzbq4X4npqX8ut1/QnKovSjJZml8+NsMQZzvqw8nhFMJNc9F07PmeKbYQlu2lWYLDz3st/lai8sdcoL7GZcCMZNMKSwcJSe9PsqZ0tt03cfLx+TqnSJgYjsUeDEa3u/p9s4UFZW3I8Cx6Ax7/RwLkoruuX3TApXj4jG7yo4xDPptzD+EjjAym183XdUU3FVzVMKr6qUU3Fd95iAwBcdYav+Tcglr3udb7PA+HgDgAADz300ANr167lR7f6+vps2/neh1x+4uUj2pJHf8fvePh3/D83bePPbf4zf2HrO/y/fv0Wfzi2jf/Xr9/iW3e8f8Q5TrV1PHUz7/nBv/Oux77Nux75Bu9efzXv+eGVvPuHV/L4K+t554++xVM1n+Pmg//CUzUX85RyEU9FEbfUsbx71TierCziicoi3nbvdTy5fCqPz5rKm+b4ees93+WpH1zGu+6/lCcXTuLJZQF+6JO9nG17mvf8x+W84/8WcVYR5iyMOaso5/qdd3B2yyKezRhSTrm+YB7X583h+u238sOPP84bnn2GH9r22jHv5dCvfsUbH1gl2soV4vilS3njqvtEe2AVb1QVfvCD3Z869sCBA/vzxIczzcHT5t9I25PPbx+Wp2uffY0/HNvG1z23ja995tUsR994+4O8cPTopr9ZyxO/f5Anf7WMN73yCG94dwtvfv4uwVF1LDfVz3JTGZu1UpsK4qYq3EFMZSw31bG8Y9mVvGmOn7OyEs7KQpw5gTtuqimdEq5T4RbCwpjrty4SfFp8K2944jHe8OwzvPGBVbxBifKD+z7i9fX12b+n0jz+FXZjP3uIJ26bwVtWTObtPy3NtsQtft50e4gf3PcRP7xxIzcWlHNjTglPzPFzo7yEs3DoyNSNxJ3AhXjHPV/lnVUTeHLBTZyFJW7MCvH6+npubH2St917LU/cOpXrK+4R77IV9/BEROLNmxYf0a+tO97PjguPP7+d3/2jzZ96Rh+ObTvimDfe/iB7zJPPb+ev/ul9j38XePvwuRpuhEuzxYxcQ4PhZrTJclji8Yrp/PC7r+e9D/kmRm4RGTHhFJNOf0TTPGF9avjmMG0cCAfy0QIDgH9zPv8jAHQdb+ejZ85uzsWgHFtYvOyZMf7IplBQ1oxgREsEI7XbgrK2KxjREkFZ2zFElhH5C50QpigK02cqqMlU0JbOJ67npoJMS0GWpfoe61V8nZbIDtLj+EzblrPEbqnIblv6dd5cWWQ3Vxalm+ZOycRnzrDjs6ba7Xd+Y1f3/Rfvbb19Yjq5cFKm5bbvNPdUj73esYAnrKjvmfjMGaYRltKM4gOM4HcYwRYj2DbCONM0r7iukZCHnXR8/QzjA/qyezgjeMvxKuAdnDYNCdcRSWUEb3Wt02K7yA5y9PF5Dug55/g3EgQiG8e5L6ZAZOM4AIDAcu0Jh5cH/S5HRdt9NEfz9fLMZpsRrkvbLNX3rqmgD0wF/dlSUK+loEHLzWetDFmqTYevpuKzLQX1dSy/gjdXFtnJBUV206xpNiOhbIEYJ2tIGwtL/a4VpzFUcrtO8AuivLnr84+13NRop3qPHv8KHw0vazwxf3KieUGx3nHX11Z1V12yoPW2a/+YmD85kZj/vfcNSmLxWdP/lJh384AxsySTtVaXz+DGzOlCbJeFhtLvUYkn506xk/Mn2fGKADfCITs+a2o3AEC3gqanFN++1KqLWcc9X/mPptnFUmfVl55yA8HdPgVlbUnueBCUNSMga8bNVZvmAAC88fYHPFuRznlmjxQcos1WX9zo8S+/GA2xOFrXqI98/fV42YxsrmohqkN2buBt9m/Z1LxZrF2MevlzOVYeiGgrAxFtpV+OlXvlz08dx/L72gMAnx+laz4GouwlAEApCL+ZY+JT4lrWYm5C86n31s7wy5tedAT1vimRmByUtZ3BiJbwy7Fdk6s2Xh2UYwvdF+PpdtxU0AFTiJJDpore6XriWm4qqNdUUTpV7Wty0u4NmlH0orlm7GZXrKSGhAvvjFzGO5ZNyLTcPrGlac5kOzH/pnSyclJfYsGkfjfgsXvluD43hZWpokTPCjQ+Ma/4faOstI+FSxIGxXucMua2UT7Davv+t5cZYbyFUdzHRKGYQ/qSOzmjxGAUbz/RfblCOrfwQjbY7KgcxKMQLX9O8W8kyFlmW+puC0a0zQFZawtEtEPuJDAga3sD8qbXp1TF7nddnADyMxA4wbd1purbnFJ8L5sq2p5SfPtSUdQtUu2N7U+pQ4ViUgrivSKA8YgJoan6BszqizLJRTfw5Pxi2wiHBt3c1sJSXZoxykp6WVlJP6OSbYRJpjEUKktUFI9xMsys1DEuP7pQTIGI6/OSf2cb9fX1PLnge+8JMe20eZOTifnFrU1zb/5Fcu7N8WTljT1dKy4dbF58TVoEyYY4mzmVx2dOsxOVRdwIl9jZAFoa4vFZU3l8doDHZwV5vHyGnVx0YxsAAF+HfJaC6k0VJSwVbTMVVNehfG5Lc/SSbXtXf+VqAAC//NwEd7IbrIoVBatiRUFZOxiMaAk3A0J9fT33R2I1wYhWN0V+bkpghTbeHWsCEW3llCptYlCOLcyzuPb4B+eOuG6PXPZS0xy/WDlxixuFQ464zub75zqVeHzmtFG5p9EU1x7yizdBPMzvOY2DiMZMA8DGUbrmZwDgjwCwH0S06JePt/PRD7dfjm0MRrSmgKy1BSNaIiBrfYGIZk1ZFnsjIG+a5YiUvcIS+NwEAICAHHs61yJxqrBU334nX3WDqaBGkWHBlzYVlHaqKopqdjU+I6WiTywV2SnHdzVV7Tui6l3P6rE39Ky6uLVt6df7mxd/x0ouuq639faJA933XZI2o6jFUnwfpxT0Sk/12OsBAJpvufaxpjn+tvjM6ammmTO63MDGeIW/pansxi8bFDcYIm+11ShJTx5++IecUdzIKDF0jCcc7750ElooAhZDC91tbuo9RvERgQ55FjfnHP9GAuHLqdUF5NgTgSptZSASeysga31BOZYJRGrNgFzb5pdrtwZkbb3L01yO5kVcV6MJIiWk778d6/Urpjr2HVPxpbP5q51JX0pBPBVFXKy0+IYqM6rI7lF8g2YUpVKrPjeYmDvFZuGStE5DGbcgghGWBuNloQGdlvY5MQEjynZQIOL6vOTf2UZ9fT3vWXalr+WW619srrzhw+SC73W13n5NR9fKS7valnwzk6wssrsil3FTRXZX5N8zRlkJN8KSHZ85nRszZ/DkgiI7Xi7S8bFwibASzpzOm2ZNteMVQTs5v9juum+cmZO5aUuvgl6JR7/4sx2rr/u4bvX0/fesUF8XgjpW46/aNM9d7XT76I9o24MRLeF30pDV19fzoKxtDsiaEYzUbgvIsS3id+2IdH4Lf/DrJz3+5Rfngrjet+bKV1tu/a7dNGuqLdzixIQwPnOGzcIh7lakZRTzprnF6V75y9fmq++58MT1uYNNIFIBuXgIAJ4FgGUAYJyVHh2Fox/uKVWx7YFI7WAwomUCciwTkGvtgFxrByOxnslVG68OVml/DEQ0MxjR+oIRrT8QiTUHIrVNYvvpietUFH3ouoWkomhr6sGLhUVa8aXNNb43TQVlHNGSMaM+yxUoIkhs7Ltm1NeVtRRWo3JT8f05FfU1uZkbLAUdNlXf7tzlzFy0LLr2GdcSxMpCAwYNDcbLQq1Oyr0Bg5I0o7jxQCAwvr6+njOKPzYoSegYX3+8+2Jhqchdvo9TvIRhx5I9TCaHPIubc45/I4EbgR2MxHYHIlpzIFLbF5S1jF+utYNyLBOQNTsoa2m/rA0E5Nq+oLxpX0DWPgnK2h+KlmxCeRXXCnq7V/VttlT0qqmiD8yob9B0J32OuLaclHtWjkuINZSjvc1SUUOq+qL2ZOWkdLxian9i3uRkvCzUy4iUNijJGNQtIEMyOsXHXWZ2USDi+rzk39lG7v+tGUU1Tt7/w5aCzLY7rxJVaOXLuGuMYDOnOdZAicfDIR4vK7WNslJulM2wjZlTbSMcspvm3GwnK4vs5kU3pLtWXJqxFNTrujx9vGbCeiL/7NWArHUGZc0KRLSEf3lso2N13u6XYx8FZc0IytpOf1WsJhiJ/SEg13YH5VjGH4mlpsixJ+598mXuuG0Z/oj2vF/Wfu5+D1bFsit6t/zg1494/MsvCl1cP7lq0Vup6ot4c2WRHZ811XFNEhlqjLDrb+24gswJ8t7I5V/IY9ePgCeuzx10AkCukFMAoB0AigCg/6z06CgM4xbS5K/S7EBEywQi2mBA1mx/VYwHZM2eEonJAbnWCsiaHZA1OxDRBgKR2kEhaGo7T7cvKcX3uqmgrpRw19hu1nyWpxRkmwrq6VnjC6UU1OoOGKawVLvie7Bv7diHUlGUyIrr6Nh5pooMU/HtMlXfZlNBWywVbXNcQZ46Xj9aFn/7+njZlBmMCPHsVFdMM4IHdRJ6OREOfathwwbupOdrPJHlGgBAVGXM+sfWDecSApB3cXPO8W+kCFbFigKy1hKIaAN+OTYQlLVMQNZsv1xr++UYD0Q07pc1OxCJZQKylhIrMLUMIM9uIQpqFO5Mvl1mFLWYqq/LEhPErLuSW4XRVHxZgS1yXPvslIL2mgrq6l71r4PJyknpporAQSMsbdGxtLWRSJ3OhE4Ia4L7GkOhspH0r0DE9XnLv7MJ9/+Wr0NjXAHsGCYS7cvGNycrJ2VaFn2vv7PqMruz6gqenDvZKUqUXQ2xjXDITsydbDfN8fOmeTfzzmVf7u9+4OJBU0GmKXKwpzpXo3HFy57xBSLa4WAk1hqQtT5/ROsNyFpzIKIdnrzsuaVBOZYUq0WxVCCidTkrnf3BiGYFZS0dqNLSAVnrq1Bf4EJYxza59xGQY287riOvBFZo4wNV2so8u4V4/IPCFteVd69beaj6Ct5z/+ftRGURT8y9mScri+x4+Qwn779TIIZgO142wx7texlNcZ1a4UOWgsrMKFppRtFKS0FluUXyPJwc3KWoXSDyC7rLUrMAoOEs9isL9+EORDaOu7kqVhSQY2lhrdZ6ArLWHJBr24Ro0Wy/rDULi7ZmB+RY15Tlsbf8kdq4WI7XBk63L44IbrQUtNVU0c5Uzee4Uyo6mYqOlVMK+shU0KCp+gacHNU8Z4m9P7ekdI/q+6VTbvrjnuqx1/esQONTCnrF8R08rh+ci0RFsU+XpFJdkh5jVKrXidTKCNnJqLRZv/tuzigxDIJ/P9L7awiFxrGwVMTCUlFDKDSslT/P4uac4d+pIChrDcGI1hOQtUN+Wesf4qbGAxGNB1xLdiTGhNtIbQdAngMaVbTfVFCnqaAep3VZCkpYKkr3irR7abdYTK47iKUiO6X60oLrvk5TRenkwkmDTRVT9zKC32BU2swI2ckI7m4keEDH0u6mmVOuGGnfCkRcn9f8O1tw/29zVk8ezcaPrLno9eZFNwwmKycNJCsnpZMLRJxJ88Ib7KZ5RXZ81lTesugG3r70K7xz2QS7eeH37GRlEe++b9ygpSCrtwZZpupLmwpqAgBw/KQT/qpYYyCivT+lSvudX9b+EpS1Dr+sNQVkrTcY0XqCstbgiGs7IMfsgKw1+CNa3ZQq7cVAROsM3f9LHpC1v0ypit2fDWiMbKp0xPX+UQpo9PgHhSuuA5GN435yf2WmKyrSlCYri3hy/k12Yt5kIbBnBZ3A2xBvmldsn+p1TgajJa67FTTdVMbWmcrYOjOK1ptRtD7n+4hSyI4iHoEjK5mOFDMA4P/muS8jxjcA4BAMBVIcAoCvA4AfRAnLs461a9dyf0SrzGZUiGi2I67TQTmWClRtSrmuIQF5o+lYs82gHFvoj2jPB+XYwoAc6wnIWp9f3vTQ6fTFVFGNqfo2d0dRjamilT0PXykCGhXUloqOfcdUUDKloP5UFLWZCnopJbItDGViUFyrtS9jKr73nGNbTQVtEYOQ7/WRWK6Hg05CCxnB2xjFuxjB+xuXLuGM4C0nm0f4RMizuDkn+HeqxzpBU+2BiLY34ArriCOsqzQekDU7GIllplRt+plfjn0SjGgtgaqNpafy8uTr0JjhrAy9im+mpYz92FRRylKQZaqo3VRR51BmEJ9jwRbp+FIK4o4VO20pvripoEOWirpNBfW03fXV9njF1PcYxZsZJTsZwfsYwfsaJKlmpOXLXRSIuD6v+Xe2cIRbiGO5NlXfu6aKEj1R3+tm9KLezuVXDLTdeVWm7c5v2h3LvpQ2oxdlOpZfMZisnJRxA7udz7xl8TV2SvVlLNU3aEZRjxlF/b0q+jMAgF+OPRaQtQ6/vCkelGOtYhVoU3dA1tKBiJYORGoHA7LWEJA3zfLL2ksBWUsHhLHld8XLnhnjVJ8zp95b67qF7HPGmUox7tRuC8ixZ/2RWE1Qji18JPYa9fiXXxSiuL733nuveGl1Sfpg9AreqVxspxTE2+/+isiaNH+S3TRnCo/PDvKm2QGevOX67LnPRXGdFdYqWsnXoex73KmHsNJUxtZ1K2i00/H9FYg87MPhEhgqk34yOFlx/TencI3j4u8AYILT/i7fJz9drF27lg+lNdNWBmQt41r93ObPftf6/FXCih2IaJ3Oy7LdL2t2oErLTKmqfWu4ZOkjhaWgidllTgU92vGTYm4pKGWpY/tNFaVMBfWbUdRvqeigY61pc5bfbWcp0zajKGMqvt2pqO9ZU0FNKQU1m1H0J2cA+rmp+rYfy+f6eEhUFI/RMS7XibSeUVx3+PHHeW7qs3whz+IG4Bzg36ke64/UvuK4hvQHZI0f2Wrt7N/Ipq5ARBsQE0Bt869ffXfE13Q46QZ21VkqilkKmjjMPm+bCmpzJnTZVRThc+3LiFzXvrSp+gbMKOqxFNRtKmiPk1KyMaWg90wFbWm+5drHXI4xQmpOlWMFIq4BzmP+nS0c5XO90EmLt9tUkGlGUb8ZPTJo1lJRurtaCOeuyOWp1tuu6UgsuKmnedH1nW1LvtHTs/pi01RQi6miVrMGvW+qvt1mFK33R2rL/FWxg47LVVqsDDljgrOa6Txn7cFIbFdAjg24z5xf1gb9yzfe5a+KrQ7IWt/0lb/g/oi2KxjR9gfk2gYxMa7ddnQgvMe//KPQxPWd99Z88GH11+wm5VI7Gb2Etyv/ko1PaV82gTcvvoYnKot48+JrePtdX+WDq8dlgxfPNXEt3AeFsD7WPq7AHoGLyEMwlIkGQFQivcf5LAHAThCrNM+CKJM+FkQZ88dBVFgcCwCPAsD7zn6qc2yu5fpKEBUddwPAOyACdP/WOccHzvapzr654nosAPzeOfcbIEqog3PeF0EUcsq6hOUDfwsAJSACKCI5rWDgims3qCQgb8oEZMdfVY5x0WrFC7NKG/DLMTsrvqu0dFaER2KZgBx7Oihrm4MRbU9A1l4PyNqGk63uaKq+x8woarFUZPU8+HnuBDi2Or6tSRHs6PvEGVC2pBT0oVmDkqaC2sS+vt0AgtQpBf3WVFHCjKL3TRVVWiqKmQqqM6No4Yn6cSKM1kOe58HlnODfqRxXvOyZMYGI9ju/HLOmVDmuIHKMC+7GHP6K7WLyF8v45VhvMKLVyU+8zEeSuD+1wodczqQUpJkKeloIbN+7poKeMlXfZktBL1kKesmKohctFb2ZEtbo3pTi60opvqSYFPo6nODcQ/zBsV8wFfQ7sYLiM0wF7TGj6BeueO9cjU4rKNhFgYjr85Z/ZxqpFT5kRtFKU0Ebmn/xfW6paElqhQ85ftdPmQoSmZai2axJaWeSZ7pVbFPV6LfdCprO16ExKQVpKQVt7VA+t3V/9ZV7frtq6luxVWW73qu+eu/+6IQPalfRnX451uyv0vocAe08S7XcL8YER1yLFaKAnOOS5ewfFIK8OyBrfQvWvsQDkY3jArK23rFeJ/yytmNKlXbE5NHjX/5RSOK6+t7lH8Wjl/Ie9SK7R73Ibqoex5uVL9id6sVOXMpQhqUu9XN814NXTTqV65wq8i6uq1G5qYyty7VYHw3xDI+tS1WjE9UK+RrkFCUCgL0A8C8A8AUQ5c//3tm+BgC+D0LwpmFI6H4ehHuUC7f8uSuu/xpEufTrnO1jnHNWAsAvQFi//wVELvf/DUeK6+ecawIATAcAN0VxGAA+AYB/OMG9nTRqYfg8mwWDtWvX8qCs/cF/b+2moBx7IWv5i3zaEuiXN3UFZVdQuy9VV1zX9hcve8YXkGO1OQU86rIl1EeQScRUUaWpomZT9XWaCkqZNZ/lpuob6FVRY6oaTei9D13iiJy6rjWfmeIex9chXyqK1h4tnPvUsYGU6jMc62Cd8/t6l+iJiuIxBsbT4hQviVOp0sB4xL5P54i4Pif4dyrHBSOxR4Oy9s5RfBziruCv7XcH+6pN6WBE2x2sihXJT7zM3ZzXx4NYzjuSMz2K73FTRa1WDWoyFdTq+Eu3miIwsc5UfO+lqtFHqehY2T2mK4ru6nh6KjejaD2AeJn23P+vv2i/62sftd3xrT3tS765u3P5+B0jeLmOGAUirs9b/p1J5E7yTAXVtf+0lDufN1jK2O8PuYagtywVNZjRi6yO5eP15ILv/bR53k0/al/25Xiq+iKWy6+Ugh7tVi7a/Iv76Z/eqf5O+5/XXNu1Y8111vY1Nwz+bvW0dOjen5sBWRsQbWgV88gVoaHnTTxnsYy/SusLRrRMUBhpbH9Es4OyZm38/Z+y/85TqjbdE4zEtg5XeMzjX/5RKOJ67Z1372hZ9jXeEYUvSgAAIABJREFUeudVvOPur/J2+Uu8SbnU7lQ+xxPRS3hz9PO8tfpf7Xj0Ulu5rypxqtc5HeRbXJsqWum+94+7XxStP551OwcfAcBnAeArICzEAABzAeAwCIG9DQD+DCJLzlgA+Djn2L8HIcifAiGM3ZUcV1xfAsIyfTSeBYBcbfQiAHwPjhTXOgD8U84+rc75wwDw4xHc10kjBcJUfx8U8Mw5INIrmU6QiiuWub9Kc5cAnRdorM/xsbMDspaZUhU7JCLHY70BWevzL994l5OeyfBHtO1FSzahQJW21C0UcKK+mMIi2GsqKGFVo22ph8ZxxwLT0xP1lYp9nNRT1eiIDB2dq9E4d9m+czUax9ehMZaCykwFbbFq0KZUNSrPPSZRUTzGoCR2dAYPg0iPjuTf7RwR1+cE/072GLdoRSCifexkr+FORhvulzXujwxZsB1rtu3we2cwEiuRn3iZj6TokbA6oCMsCmYUveOspnSYCmpOqajDVFF7SkHvOwGOO53J3IbUCh9yLY7tPy3l7suzIRQaZ1ASi5eXbItXTN0VnzVtp1FWunW47DGnigIR1+cl/840xLIxqrMUtDS1wof0nb/h7iqKqfq2mwqq64z6brGi6EUzelFTy63XpZOVk/oT8ycnmuYEPk7ML25rWfwdMxW96DkAgF4VFZkKqjscvfy1YETbP1/+UfOalfemHly5PLN4xcO2syppByOxjD+imdnsUDkrQ1OW19r+5THuzxXbspYOytq+gKwdCMixd8XEV7MCcmzLk89v50VLNiHHer0hKIIdP+Xy5PEv/ygEcf3DpZFtjYsm80TlJBGsWDmJxyuL7aalE3mTcqkdj36RNytf4Lurr+K3Vv3HL0/1OqeL0RDXKQWdUFOchLiOAsCdILLg3O5smwfD+z6PBRHUm4t/AIAgADwDAJudba64HjfM/gCnL64fOcE9nRLeB4DQaJw4X1i7di13BPOgk7LMdQFxl/9yrRMZNyODX9YG/VXP/SAYib3ll7XBgFzbd7O8MRqM1G51i8wADOUkHoml0BRlzftM5TMbelVU1PXYNa5bSH93te9ZZwl0w3DiGmBoEDq6DbfU7qbG04n0dKMkTXcKvWjD5Z4eDueIuD4n+Heyx2TLJsvanoAcs4Ys1m4KvphjuY4N+V9XabaIEYi9MSv6Ag/IsS0nuk6O5bqGr0NjUtVoQkq4H1mmit42FbTDjKK3TAUdNFWfkapGE0zVt9lUfUavyHyT5WDrM+Xc9alzK3bqRFrPwlJRLveOlUXmZFEg4vq85N+ZRvad5/Cnvr6em1G0UKQu9e1yB2ZTQXXtd135frJyUl9y4Y1W+91X7mm768q3EwuKWhKVk/ra7xl/OJeTP1k1f5Pzzh/MXYUU/tQxW6RhFStD/iNcPhw3QTlm+6tqc1yvNHvKcu03onCT9peArPVNicTi/oimuRPaocD52LATSY9/+cfZFtd++bmfvnb7LB6vLLaTi79jH45cxRvuukaI68qbeNf9l/Bu9bN2Q/Vl/NnVs4+b0vdcE9d5dgsBEEWJ3gJhkXbdbS8BgDgIcQwA8L8A4IvwaXH9P2EocPH/OMcAfNot5Hpn+z/CybmFuGJ/OgxZ1UdNXD8JolLT7c5F3FYwED7Xtf0BWWsRVodYjhtI7IjAsCnLxQvU9anzR2IfBWStx7FQDPjlTb9xUyu5lupAZOM4N2DyRH0xFdRuqqivezWaDwCQ2FzDLRHImEkp6KOcpdGnj0VWx9roWHVQzbF8WEWw2JElybOVFDE+IcnPEXF9TvDvZI9xKzT65U17A7LrE1rL/VUa92ddQlz+ZgOsbH9EawjKmhFe8ysekGtfOdF1cnJZ15kK2mBWo6ecyV6vGfXdn12aV0V56I5VvhLHwrjVsVhoDg9XHt79RvY+DYo3HC2ks5O9EXBvJCgQcX1e8u9MQ6TtGjIo1NfXc1NFK8UEzrfLiQP4pamguuSCSb9IVE6yOpaP70hFx+4yFXSw/e7x9cn5xV0tt12zz3VzshQ0ccpy7eduGlU3aDHgBi0OxdW47la5Fmqes1rkFG7KuoykRYBxbZ+TF/v5QGTjuCd/tZ07VVWfDsqxhccKePf4l3+cTXEtXEVr7Y8WltiscjJvuv9yvnvNN/lb1TfYjXdexxOVk3jH8i/zDuVi/vtVQX7vvfceN93oOSeu3YDG6PEDGlPKWO0kcl5/AABHj1/TQbh0fOj8vQE+La7HgQhSfN/Zx62ZkBvQ+BUQlU33Ovv+M4jYhSdAuKR8AENW7FxxfRGIoMkPQfhb5wY0joq4Hs7fq6Be5o5bSF+gSvsPAAB/5EjfVX9u9oWIxp2iHO4yYSooa1ZA1voDEa0lGIltdXyt9/uXaw/6I1qluwQ4EreQnmq031RRn6WO1S0F/ajzJ35u1aA+R1x/4grr4azWJ4usuM7JxjBcmfJj4RwR1+cE/05m/ylV2sQpcmxdIKJ9HJRj7VOqROGYLFePiBVwVl2EyE4HI7Vbg5HarXNqXuRBWdt84quJJfSsSFbQFidAsctUfU/0Kug1U0EHUyrqTimoPaWg51yOHn2eXL7oRHr6AhHX5x3/zgZc9yQnU01Z8jereHbSp/qecD7vMRXfrubF176TnH9TZ2fk8lY3G02n/KX98YqpuxjFR7yD/f+PvTePj6O48/4/2STP5rdO9kiyava32SeJk83uJjjZPJuD5EkCWYOxuhtfmu6WbMxlmyMQMMGealscxho5ckw2MSSQTQwkxlbXAAGCN2AMJibcl8FcNvjA1vTIku9DI0uWNP38Ud0zrfGMDns0U2N/369XvTQ909NVkj5d9emqb1VF449mzLAd79HEBjFHckIBM/dUdnUQx9NscW/pNu9Tbd6j2cEOqbxXF6v3dOlRJ7O1+VD1SPorPuUy19XX3fVFlTm9GuPpzTMmpXfMrPZ23viFtNvwhfTmhjFe+zXf8tpnjk3vnXu699LC/+tNi/4scjz5FJMRXYqvIc9SfA0lW4rvpOMXBZI0BOZancdf02znkvFzMnGqxyTV5mnV5kdUW4SBaMx5S40661Sbc9VurlHZijHVc/kV4eG/oLdiKCuG+PHUu/0Z7nsO/+RzXiqmHOlYWJU43FA1pVgrKQBZM5M0I0vdSGSsG4mMDXoUh7L8WYWY64rQ31DPzYSD2HyVxpqfUhnvCIarsz3WPBQS4huDaDytMWeHylaMGXtNszLUmOswBxYoozsWKmP8lT22+cblhczye2JZyFUdMYXne/gL6yWzW6dpLmqrrflm0jAmZOP/i7O8oyTm+qTSXzkJh7wFExqDGOx9C//xjj0Nn9mxP/apA+3sy3t2XnLu7l2XnP30gTlfeunA3C9taD1/wop8D24qa77Hn7TY2W+d+NyJi6EJ7Gp4Ert4v0eLNh/Sbd6t2/H26uiKmDp35bXj7bs/E86rTOaa9IfymOvq6+76osZ4TzC5/PkratObZ0xKJ374XW/X/NPT7dF/99pmnp1un3l2+r3530wfbz7FphSbyHTElKUdMWWpeH0aJ2N9khKYa92OH9JZvD1buQYTw5xs77XtdGu2s12czw9Xs+bFKuMTc42zZq8crTJnqsqcqXrUGTvUNa8zO441KK90NCjbD/3s373DDcpzx7Mu9WBsmzBBCeJc+6fI7KF8v0LMtfQMtXHxN6NYFSwbqdkrR6t289t6tLlPzBEQOq3OTGT0DXdU9K5pzHkXALSoM4HdvtobSphSPoRGq+5PNSrPpBqq1qcaq17tbFReSTVU/eJIozK2ULhSWC9t08eNCnqvwylhRgadVT5UJDHX0lMp5hrIPOBNTa69wws6GjR75Whz3l33NVw/77lNC7+yb3PDmP1brxh3uPWS6t3+hMbNvr547kZE4xn/kb/DaafYuyCeFnV+0DvN08HkYI05nja3OVnNmh/WmNPjhwz26oy/pTO+SbP5Lt3mmwqtClUmcy09J6O5FsukOgc1O/sQtuC6xvR7MyZ5m2dMSm+fqXktM8d7LTPHe+/8QBuysc7NZyQY6e3POxYqU1ONSn2qUanvWKhMpe3Pj59REHFf7wP4ov96ellLlENTU5M3Php/VGfc1Wxnn79BjKdG+20kExjuTp3xtzSbd2jM6Tg3uvIbxS7PgQXK6M6YMjvVqCxqf2COF6zLWux8AGGwxc6L5iLXMurD8deDUSHmuiL0N5TzMiuEMJ4xoBrjL/SfF3BMCoap+/Sosz0w52Kd62OXARsqYY2K2FdlUN3k6qVt+rhRLZHIRNc0F7mmuaglEpk43F0Yh5PfUCH9yU/4f6vbztJgguCF826/+N4brUdWLZi4+cVr9c07Lxx/n2uaixJmzaxcbelRZ6zGuKPazoHw5jDByI/OeJ8m5uJ0he6nDj/sr1uLOn0ac95VbWeRZvN6zXaaxTyIFXlD9spkrkl/KK25Hm/f/RktvOpYKKz0puti3uqrLvKeu6LWe/6K2vSds68edrkq2VwTxeUXyMZ5nQ7gvyCWBpKGpqYm77x5zWdqjL8iFvZ3MqY6vBGHf6Ps9g3OLo3xXVp05ZSRLJvMIq8Qc10R+hvKeYG51m1nqWrH6zTGHX/SVHakJWsQsisYiHV6WzXm3BtMrI0/9pJ3PDuIngil1rIk5vqk0Z9MBP/b7EpMTr8Yf9XmXLf5qkKheJl7ifFH1Chv0RjvUfuHf3hiJ17nqBYVMbP+HJu9us3bNMY7dZsfHh91MkuMBXNrJDPXpD+UzlyrbMUY1XY6wuFDamYybGZDurTGuKcz5/C46377H8eTz0iUP4DMdeWwE0A9xC45p0PsFjXgUjOlxg8LcTKxrFEnvO15TzjuTrX5K1qU12s236zbvG38nHvOGsmyySzyCjHXFaG/oZw3bs7yUarNuc748/4Ob+szcaK+PnWbd6vRcEwo79Xs+I5zoyu/H75WOXR1iprrk0Z/MnGsuebLwp8HvdmFQjSCvQf0qHObznhShHPwA34vda9/L/VpNu/RorxXZ06fbvPu6qhzmz9J/QXfZD+l2vE6Lcrrg/ajkKEvk7km/aE0dc/Gdzd74+c4a3Xm9ImlHPlRfynH7GZDwcNb1Nl+vPmQuSYCDkMskRLc3BdBwptbmGo+249r7VYZT/vrWff6y+wFvRn7xUYcvE2z40+PdO+fzCKvEHNdEfob6rn+hMbN/tD0Bs2O9/jx1H26MNI9mQdB0fPWmm+bczLXhSH9yU/4fxv0Uqs2n6nN56erdrxusKVPVdtZ5Hek/Fa3eZsWdZ7R5jbfLOp1p9sf8enVGN+r2fwNjfHdms0P6Iw/H/R4a4y/rTP+SL+1q/Pca/nKPBCkv+JTirrnoSdf9TTmvKUz3qsyp0OPOuu0KA9GPTIddNXM6TiRfCrZXG+bMEFJmmadaxj1rmHUJ02zbtuECRRzfZw8B7GeYB+AZQD2AvhzifJeAjEc9qGBTgrMdTCcp0Wd3ZrNj6os3qlGnTer5za/qUVF3KpmOwmd8fW6HV+rR50hxycfL2SuT5iK0N9wLqpGnWUq4+uro82z1ajTotnxbpGcbpU5B4XRjveqtrNdZfzH+a5B5rowpD/5Cf9vgzXfc1O+3Q8DdObM0m2+qprF1+os3q4x/sL4qLNUZ85ajfGkZvOjGnMOVs/lV1RHm2ertrNKt+PrtGjz7PAkdT3qjA0mrhfqJc9X5oEg/RWfUtQ98cde8vQof0Kz+VHdjnfrtuP7BN6nBZPMo/y1E82nUs11SyQyMTxxPWFGbs3sCm0YEwa/woD8LcTmL8X+zvFct2T8J4AjyMZ9dSK7+81IMgZAHEAXhmyuRa+DWPQ/3iM2BuBH/U06ujTG9weTVwrF1RUbMtcnTEXobzgXDnrd9KgzVouunOKbg97s5MW4v+Z64WFxMteFIf3JT+7/VrNXjtaifHZ2cuHARjcIsdIYf1mznQ7d5il/NKhFY3GxMZOdnQA81H0KhlPmQpD+ik/JzLWol5P+amLdelAv27xPZfzJYuRTieY6ZKzrwxOL26aPGxXs1juUXaEH4IMA/k+B94f7neGeU1b+BcCPAFwL4AslyO8DELv3fBrDMNfBZDHddpZqUWe3KobYu4LNAHLXLS0FZK6LgvT6G87FVeZMDetVY87TGnM6RG9bvEtnjit6tws/AJK5LgzpT36KoSXNXjna761u1xk/rNn8oMb4Np3xbVq0+TWV+duY25wPtKNisctM+is+pah7XntzU8ZHqLbTojJ+VHTQOUeLZayByjPX/pK/q3I3cAoTGOwhhIgsBvCD0PECANehfw9zLYAHAXAAzQD+F4B7ALwG4H6IkZt/L/Cd3wJ4EkAw4pvbc21AjARt8K8VvPeSf/3VyG6vXnLOB/A/I5zHTIhJHMAQb27Nzk5ICWafD9b7UQrIXBcdKfU3nIuLXje/9/o49UrmujCkP/kpppZUxicGcdvZ2OnjX6ayEJKsc31K6q90q4WMvJYqzVwnDGOqaxmrBlpm1e/BHsruvF8F8FTo+G0A/4RjjfJ7AD7iH18O4C7/9WgITeYz128B+DDEw+HrAP7/nHNGA9gGsaU6AHw85ycAXAygcZDfYcSIYWS3X/0EgBcA/KV/3O/mXrx48U1NTU1ebtq6dav30uvveE+//Kb39Mtvelu3bqVUxrRly5bNI6QPafU33ER6Jf3loWT6O5nSa29uytxLr725qezlIf1VbpJNS8ebiiUI1zLqh7I5mB+DPZTQq40QxvcrAJ7238s1yv8dOn8FgOrQcaGe61+GzrkXwBk551wMYCmOZQyAVQCeAfAygIeG8DuMCCN9c58JoB3Adj95/s+/KvQFmXtuiinyYjNSZRvhnhvSH6jneiBIf/Ijc71YiKGWmfRXfEqhl1JpcqTzKXbPtWsZ9Ukzks+U9mMY5roBwNUAFgG40n8v1yj/PHT+SgzNXIe/wwF8J+ecS3LOCXgOwPf812dAhIaMKJ8skH6Kkb25c5FiWOp4kbkRkdxck/4GgMx1YUh/8iNzvViIEptr0l8IMtdDR/KwEAD4EoShfRdAEKM9kFG+AsDd/uvREBN8j8dcB2Eh/+Af/73/cyOAKv/1YpTAXHuDpFIhxc19vMjciEhurkl/A0DmujCkP/mRuV4sRInNNekvBJnroTNiExqNQSc08mGsef0mxKTZgIGM8l9C9F6/CcCBCN8YPch38plrADAhYrPfAnCf/54B4FkAywHcghKY695BkjTI3LjI3IhIbq5JfwNA5rowpD/5kbleLESJzTXpLwSZ66EzokvxGXmW4jOKshTfQHwA2cmNn4Lo8f7wCOVFhJG5cZG5EZHcXFcMZK7lyo/0Jz8y14uFkCTmWjrIXMuVTyk2kUmakaVJM7LUP+YjaKwBYaRfBPAKxCog1QOfLj+nDZKkQebGReZGRHJzTfobADLXhSH9yY/M9WIhSmyuSX8hyFwPnZHe/tyPwa53LaM+YRhTafvz4SNLzNegyNy4yNyISG6uSX8DQOa6MKQ/+ZG5XizEKRpzPShkruXKZyTNNVEc3hokSYPMjYvMIpfcXJP+BoDMdWFIf/Ijc71YiBKba9JfCDLXQ4fMNVE0ZG5cZBa55Oa6YiBzLVd+pD/5kbleLATFXOeHzLVc+ZC5riz+EcC5ACaFkjTI3LjILPIKMtekvxzIXBeG9Cc/MteLhSijuT7l9UfmeuiQua4cagEcxSke83W8yCzyCjHXpL88kLkuDOlPfmSuFwtRJnNN+gOZ6+FA5rpyeBvAOwB6APwRwH4Aa8taohxkblxkFnmFmGvSXx7IXBeG9Cc/MteLhSiTuSb9gcz1cCBzXTkcAaABOAzgnyF2vXmyrCXKQebGRWaRV4i5Jv3lgcx1YUh/8iNzvViIMplr0h/IXA8HMteVwxEAZwNIAJgH4DqIG10aZG5cZBZ5BZlr0l8OZK4LQ/qTH5nrxUKU0Vyf8vojcz10yFxXDpsAXAbgQWTjvV4va4lykLlxkVnkFWKuSX95IHNdGNKf/MhcLxaiTOaa9Acy18OBzHXl8GWI4ajPAIgD+AOAMeUsUC4yNy4yi7xCzDXpLw9krgtD+pMfmevFQpTJXJP+QOZ6OJC5riw+AUD30yfKXJZjkLlxkVnkFWKuAdLfMZC5LgzpT35krhcLUcal+E55/ZG5HjpkriuHagAHkR2SOgCx5qY0yNy4yCzyCjHXpL88kLkuDOlPfmSuFwtRJnNN+gOZ6+FA5rpy2AIxgeJeiCGpowDeK2uJcpC5cZFZ5BVirkl/eSBzXRjSn/zIXC8WokzmmvQHMtfDgcx15bAPQCR0PB/ArjKVJS8yNy4yi7xCzDXpLw9krgtD+pMfmevFQpTJXJP+QOZ6OJC5rhx+AyDqv/4AgF8DWDrCeS6HWHpoB4BlAD480MkyNy4yi7xCzDXpLw9krgtD+pMfmevFQpTJXJP+QOZ6OJC5rhzeh4j1agWw23+9GWKJoE0jlKcFcUN/GMAjAK4Y6GSZGxeZRV4h5pr0lwcy14Uh/cmPzPViIcpkrkl/IHM9HMhcVw7eIGmkuQFAbKATZG5cZBZ5hZhr0l8eyFwXhvQnPzLXi4Uok7km/YHM9XAgc105fHKQNJJ8BMBbAL410EkyNy4yi7xCzDXpLw9krgtD+pMfmevFQpTJXJP+QOZ6OJC5riw+C+BCiJv58wA+XoI8PwBgBYDGwU6UuXGRWeQVYq4B0t8xkLkuDOlPfmSuFwtRxnWuT3n9kbkeOmSuK4exADohhqBOB/ACAF6CfJcA+C3ETZ5h8eLFNzU1NXm5aevWrZQkSlu2bNlcJB2Q/iiR/nxIf5WRSH+Uyp1KoBHiBHkJwGsA0hA392UAWkY4zyiAPwL40FBOlrnnRmaRj1TZitxzQ/rLQzl0Veo8jzc/0p/8yFwvFmKoZSb9FZ9S6KVUmhzpfKjnunJIATgPQC/Eza0C6BrB/D4I8ZS+C4Drp58M9AWZGxeZRV4h5pr0lwcy14Uh/cmPzPViIcpkrkl/IHM9HMhcVw4JADdB3NxfB9AMsTyQNMjcuMgs8gox16S/PJC5LgzpT35krhcLUSZzTfoDmevhQOa6cvg5ssv+9Pk/l5S1RDnI3LjILPIKMdekvzyQuS4M6U9+ZK4XC1Emc036A5nr4UDmunL4KIC7ABzw050ARpW1RDnI3LjILPIKMdekvzyQuS4M6U9+ZK4XC1Emc036A5nr4UDmunL5wOCnlBaZGxeZRV4h5joX0h/IXA8E6U9+ZK4XC1Emc53LKak/MtdDh8x15TAXwEwAnwKwBcAhAJPLWqIcZG5cZBZ5hZhr0l8eyFwXhvQnPzLXi4Uok7km/YHM9XAgc105tACYBaAeIuZrD4A3y1qiHGRuXGQWeYWYa9JfHshcF4b0Jz8y14uFKJO5Jv2BzPVwIHNdORyFWMj+fgD3ApgA4EhZS5SDzI2LzCKvEHNN+ssDmevCkP7kR+Z6sRBlMtekP5C5Hg5kriuH/QB+CqAVwAIAEyGGpqRB5sZFZpFXiLkm/eWBzHVhSH/yI3O9WIgymWvSH8hcDwcy15XDfcguBfRNADcAeLWsJcpB5sZFZpFXiLkm/eWBzHVhSH/yI3O9WIgymWvSH8hcDwcy15XDRwFcCOC7/vH3AHy7fMU5FpkbF5lFXiHmmvSXBzLXhSH9yY/M9WIhyrgU3ymvPzLXQ4fMNVE0ZG5cZBZ5hZhr6SFzLVd+pD/5kbleLIQkS/FJB5lrufIhc00UDZkbF5lFTua6OJC5lis/0p/8yFwvFoLMdX7IXMuVD5lromjI3LjILHIy18WBzLVc+ZH+5EfmerEQZK7zQ+ZarnzIXBNFQ+bGRWaRk7kuDmSu5cqP9Cc/MteLhSBznR8y13LlQ+aaKBoyNy4yi5z